Homology-changing percolation transitions on finite graphs
Michael Woolls, Leonid Pryadko

TL;DR
This paper studies how the homological properties of finite graphs change under percolation, identifying thresholds related to the emergence of non-trivial cycles and their dependence on graph growth and structure.
Contribution
It introduces a framework linking homological percolation thresholds to the growth of minimal non-trivial cycles on finite graph sequences.
Findings
Homology-changing thresholds depend on the growth of the smallest non-trivial cycle.
The giant cycle erasure threshold equals the percolation threshold under certain growth conditions.
In non-amenable cases, the thresholds differ, indicating a phase transition in homological properties.
Abstract
We consider homological edge percolation on a sequence of finite graphs covered by an infinite (quasi)transitive graph , and weakly convergent to . Namely, we use the covering maps to classify -cycles on graphs as homologically trivial or non-trivial, and define several thresholds associated with the rank of thus defined first homology group on the open subgraphs. We identify the growth of the homological distance , the smallest size of a non-trivial cycle on , as the main factor determining the location of homology-changing thresholds. In particular, we show that the giant cycle erasure threshold (related to the conventional erasure threshold for the corresponding sequence of generalized toric codes) coincides with the edge percolation threshold if the ratio $d_t/\ln…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Markov Chains and Monte Carlo Methods · Complex Network Analysis Techniques
